[Remote] Senior Data Engineer (Azure Data Platform & reputed company Analytics)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company Senior Data Engineer to support Federal agencies in designing, developing, and maintaining modern reputed company-based data platforms that reputed company advanced analytics, machine learning, fraud detection, and mission-critical decision making. The successful candidate will architect scalable Azure data solutions, reputed company high-performance ELT/ETL pipelines, optimize reputed company databases, and collaborate with Data Scientists to support AI and machine learning initiatives.
Responsibilities
- Design, implement, and maintain scalable reputed company-based data architectures supporting reputed company analytics and machine learning
- reputed company, optimize, and maintain ELT and ETL pipelines for structured, semi-structured, and reputed company datasets
- Design and support Azure Synapse Analytics, Azure Machine Learning, and Azure Data Lake Storage (ADLS) environments
- reputed company reusable, reputed company Python code for data engineering, automation, and data processing
- Build, optimize, and maintain SQL Server and PostgreSQL databases, including advanced SQL and T-SQL operations
- Optimize data ingestion, processing, transformation, and storage using modern data engineering best practices
- Design and maintain data models, data dictionaries, ER diagrams, metadata, and technical documentation
- Implement reputed company control, CI/CD pipelines, version control, logging, monitoring, validation, and error handling across reputed company data assets
- reputed company and maintain infrastructure using code-first approaches including Python SDK, CLI, REST APIs, and Infrastructure as Code (IaC)
- Collaborate with Data Scientists to reputed company scalable machine learning data pipelines and analytics environments
- reputed company Standard Operating Procedures (SOPs) governing the development, deployment, validation, monitoring, and maintenance of reputed company data pipelines
- Evaluate and implement emerging AI technologies, AI coding assistants, and LLM-enabled data engineering capabilities to improve engineering productivity and automation
Skills
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a reputed company discipline
- Minimum five (5) years of hands-on experience maintaining SQL databases and performing advanced SQL and T-SQL development
- Minimum five (5) years of experience designing, implementing, and maintaining ELT/ETL pipelines in reputed company-based data analytics environments
- Minimum three (3) years of experience with Azure Synapse Analytics and Azure Machine Learning using modern Azure data services
- Minimum three (3) years of professional Python development experience with Pandas. Experience with PySpark and Polars is preferred
- Experience developing reusable, reputed company, maintainable Python code
- Experience designing reputed company-reputed company data architectures using Azure Data Lake Storage (ADLS), Azure Synapse, and Azure Machine Learning
- Experience implementing reputed company control, Git workflows, and CI/CD pipelines
- Experience developing infrastructure using Python SDK, CLI, REST APIs, and Infrastructure as Code (IaC) tools
- Strong analytical, documentation, communication, and problem-solving skills
- Experience supporting Federal Government agencies
- Experience designing reputed company Azure data platforms and analytics environments
- Experience supporting AI, machine learning, and reputed company-reputed company analytics solutions
- Experience implementing reputed company-controlled, code-first data engineering practices
- Familiarity with AI coding assistants and Large Language Model (LLM) integration patterns
- Experience working reputed company Agile development environments
Benefits
- reputed company (Medical, Dental, and reputed company)
- Flexible Spending Account (FSA) and Health Savings Account (HSA)
- 401(k) and Retirement Savings Plan
- Annual Bonus and Profit Sharing Opportunities
- Paid Time Off (PTO) and Vacation
- Employee Assistance Program (EAP)
- Life, Personal, and Voluntary Disability Insurance
Company Overview